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Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralising SARS-CoV-2 nanobodies

Leo Hanke, Daniel J. Sheward, Alec Pankow, Laura Perez Vidakovics, Vivien Karl, Changil Kim, Egon Urgard, Natalie L. Smith, Juan Astorga-Wells, Simon Ekström, Jonathan M. Coquet, Gerald M. McInerney, Ben Murrell
doi: https://doi.org/10.1101/2021.07.25.453673
Leo Hanke
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Daniel J. Sheward
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
2Division of Medical Virology, Institute of Infectious Diseases and Molecular Medicine, University of Cape Town, Cape Town, South Africa
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Alec Pankow
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Laura Perez Vidakovics
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Vivien Karl
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Changil Kim
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Egon Urgard
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Natalie L. Smith
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Juan Astorga-Wells
3Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden. Present affiliation: Pelago Biosciences, Solna, Sweden
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Simon Ekström
4Swedish National Infrastructure for Biological MassSpectrometry (BioMS), Lund University, Lund, Sweden
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Jonathan M. Coquet
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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Gerald M. McInerney
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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  • For correspondence: gerald.mcinerney@ki.se benjamin.murrell@ki.se
Ben Murrell
1Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden
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  • For correspondence: gerald.mcinerney@ki.se benjamin.murrell@ki.se
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Abstract

Conventional approaches to isolate and characterize nanobodies are laborious and cumbersome. Here we combine phage display, multivariate enrichment, and novel sequence analysis techniques to annotate an entire nanobody repertoire from an immunized alpaca. We combine this approach with a streamlined screening strategy to identify numerous anti-SARS-CoV-2 nanobodies, and use neutralization assays and Hydrogen/Deuterium exchange coupled to mass spectrometry (HDX-MS) epitope mapping to characterize their potency and specificity. Epitope mapping revealed that the binding site is a key determinant of neutralization potency, rather than affinity alone. The most potent nanobodies bind to the receptor binding motif of the RBD, directly preventing interaction with the host cell receptor ACE2, and we identify two exceptionally potent members of this category (with monomeric IC50s around 13 and 16 ng/ml). Other nanobodies bind to a more conserved epitope on the side of the RBD, and are able to potently neutralize the SARS-CoV-2 founder virus (42 ng/ml), the beta variant (B.1.351/501Y.V2) (35 ng/ml), and also cross-neutralize the more distantly related SARS-CoV-1 (0.46 μg/ml). The approach presented here is well suited for the screening of phage libraries to identify functional nanobodies for various biomedical and biochemical applications.

Competing Interest Statement

LH, DJS, GMM, and BM are listed as inventors on a patent application describing SARS-CoV-2 nanobodies.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted July 26, 2021.
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Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralising SARS-CoV-2 nanobodies
Leo Hanke, Daniel J. Sheward, Alec Pankow, Laura Perez Vidakovics, Vivien Karl, Changil Kim, Egon Urgard, Natalie L. Smith, Juan Astorga-Wells, Simon Ekström, Jonathan M. Coquet, Gerald M. McInerney, Ben Murrell
bioRxiv 2021.07.25.453673; doi: https://doi.org/10.1101/2021.07.25.453673
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Multivariate mining of an alpaca immune repertoire identifies potent cross-neutralising SARS-CoV-2 nanobodies
Leo Hanke, Daniel J. Sheward, Alec Pankow, Laura Perez Vidakovics, Vivien Karl, Changil Kim, Egon Urgard, Natalie L. Smith, Juan Astorga-Wells, Simon Ekström, Jonathan M. Coquet, Gerald M. McInerney, Ben Murrell
bioRxiv 2021.07.25.453673; doi: https://doi.org/10.1101/2021.07.25.453673

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